jasonbian97 / Deep-Q-Learning-Atari-Pytorch
Reinforcement Learning on Atari Games and Control
☆18Updated 4 years ago
Alternatives and similar repositories for Deep-Q-Learning-Atari-Pytorch:
Users that are interested in Deep-Q-Learning-Atari-Pytorch are comparing it to the libraries listed below
- A well-documented A2C written in PyTorch☆50Updated 5 years ago
- ☆182Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆119Updated 2 months ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆285Updated 3 years ago
- Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]☆270Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆217Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆312Updated 4 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆286Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Series of deep reinforcement learning algorithms 🤖☆29Updated 3 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆92Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆136Updated last year
- DQN to play Atari Pong☆112Updated 6 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆207Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆167Updated 6 months ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆140Updated 3 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated 6 months ago
- ☆14Updated last year
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆20Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆193Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆201Updated last year
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆209Updated last year
- An OpenAI Gym environment for the Flappy Bird game☆121Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- Multi-objective Gymnasium environments for reinforcement learning☆302Updated last month
- Policy Gradient Actor-Critic PyTorch | Lunar Lander v2☆72Updated 5 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆103Updated 5 years ago